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Astria - Dreambooth API

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Image Generation & Editing

Introduction

Create custom images with AI.

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Astria - Dreambooth API Product Information

Astria – Fine-tune Flux (Open-API Generative Imaging Platform) is a developer-focused AI imaging toolset that enables fine-tuning and customization of generative image models (Flux, SD1.5, SDXL) to produce studio-quality images, avatars, headshots, and branded visuals with a user’s unique fingerprint. It offers a complete workflow from model fine-tuning to inference, with scalable infrastructure, various fine-tuning approaches, and a gallery of models and presets to accelerate creative work. The platform emphasizes ease of integration (no DevOps), fast processing, and flexible licensing for users to embed personalized visuals into apps and services.

Key Capabilities

  • Fine-tuning API: Abstract, single API call for fine-tuning plus batch prompts, upscaling, and face correction.
  • Model Library: Use open models or import your own as baselines for fine-tuning. Includes Flux family models compatible with SD1.5 and SDXL.
  • Fine-tuning Methods: Supports Checkpoint-based fine-tuning and LoRAs; offers alternatives like FaceID/adapter approach for lower fidelity but faster results.
  • Inference & Filters: Inference API enables generating a variety of outputs (studio-quality headshots, avatars, cartoons) and applying generative filters (line-art, oil painting, artistic illustrations) with controlnet and fine-tuning while preserving identity.
  • Evergreen Gallery & Updates: Access to a model gallery, regular updates, and guides to keep up with new models and features.
  • No DevOps Required: Scalable infrastructure with auto-scaling, no queues, designed for fast processing.
  • Licensing & Compliance: Licensing supports playground GUI and API services without additional licensing hurdles.
  • Use Cases: AI photography service with your own style; premium quality headshots; social apps with embedded AI imagery; avatar generation; product imagery with enhanced details; interior design visualization; pet imagery; and more.

How It Works

  1. Choose a baseline model (Flux family or SD1.5/SDXL) or import your own.
  2. Fine-tune using one of the available methods (Checkpoint or LoRA) to adapt the model to your subject or style.
  3. Use the Inference API to generate images (headshots, avatars, cartoons, product shots) and apply generative filters.
  4. Iterate with auto-scaling infrastructure to handle peak usage and deliver studio-quality results quickly.

Use Cases

  • AI photography service with your own style and fingerprint.
  • Premium corporate headshots and avatars.
  • Social media apps with embedded AI-generated imagery.
  • Custom generative filters and artistic effects for brand visuals.
  • Product shot enhancement and background/lighting adjustments.
  • Interior design visualization and concept-to-reality workflows.
  • Pet imagery generation (avatars, posters, promos).

Safety & Licensing Considerations

  • Licensing is designed to cover playground and API usage without additional licensing requirements.
  • When using fine-tuned models, ensure compliant usage with identity and consent policies.

Core Features

  • Fine-tuning API: single API call for fine-tuning plus batch prompts, upscaling, and face correction.
  • Model library: use open models or import your own as baselines for fine-tuning.
  • Fine-tuning options: Checkpoint and LoRA-based fine-tuning; Flux SD1.5/SDXL compatibility.
  • Inference API: generate studio-quality headshots, avatars, cartoons; apply generative filters with controlnet support.
  • Generative filters: line-art, oil painting, and various artistic styles.
  • No DevOps: auto-scaling infrastructure with fast processing and no queues.
  • Licensing: straightforward API access without extra licensing barriers.
  • Gallery & guides: access to model gallery, latest models, and usage guides.
  • Easy integration: designed for developers to build AI photography services with your own branding.

How to Use (Overview)

  • Access the fine-tuning API and choose a baseline model.
  • Upload your target data and subject references to fine-tune for your personalized visuals.
  • Deploy inferred outputs via the Inference API and apply desired artistic filters.
  • Iterate on results with auto-scaling support for production workloads.